Scientific visualization and computer vision

Abstract

Visualization is the process of converting a set of numbers resulting from numerical simulations or experiments into a graphical image. However, the ultimate goal is to understand the underlying science. A crucial part is to identify, quantify and track important regions and structures (objects of interest). In this realm, the goals of visualization, computer vision and image processing coincide. Namely, the concern is to produce an image, automatically analyze and recognize objects in a field and reconstruct a model. In this paper, we present an overview of some important quantification/visualization operations and demonstrate how these operations incorporate ideas from computer graphics, image processing, computer vision, and mathematical morphology.<>